Google Earth Engine——海洋近表层大气特性数据集是NOAA海洋表层数据包（OSB）的一部分，提供了无冰海洋表面的空气温度、风速和特定湿度的高质量气候数据

The Ocean Near-Surface Atmospheric Properties dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of air temperature, wind speed, and specific humidity over ice-free ocean surfaces.

These atmospheric properties are calculated based on brightness temperature data from the Special Sensor Microwave/Imager (SSM/I) and the Special Sensor Microwave/Imager Sounder (SSMIS) on the Defense Meteorological Satellite Program (DMSP) spacecraft, using a neural network.

海洋近表层大气特性数据集是NOAA海洋表层数据包（OSB）的一部分，提供了无冰海洋表面的空气温度、风速和特定湿度的高质量气候数据记录（CDR）。

这些大气特性是根据国防气象卫星计划（DMSP）航天器上的特殊传感器微波/成像仪（SSM/I）和特殊传感器微波/成像仪探测仪（SSMIS）的亮度温度数据，利用神经网络计算出来的。

Dataset Availability

1988-01-01T00:00:00 - 2021-05-31T00:00:00

Dataset Provider

NOAA

Collection Snippet

ee.ImageCollection("NOAA/CDR/ATMOS_NEAR_SURFACE/V2")

Resolution

27830 meters

Bands Table

* = Values are estimated

数据使用：

The NOAA CDR Program’s official distribution point for CDRs is NOAA’s National Climatic Data Center which provides sustained, open access and active data management of the CDR packages and related information in keeping with the United States’ open data policies and practices as described in the President's Memorandum on "Open Data Policy" and pursuant to the Executive Order of May 9, 2013, "Making Open and Machine Readable the New Default for Government Information". In line with these policies, the CDR data sets are nonproprietary, publicly available, and no restrictions are placed upon their use. For more information, see the Fair Use of NOAA's CDR Data Sets, Algorithms and Documentation pdf.

引用：

Clayson, Carol Anne, Brown, Jeremiah, and NOAA CDR Program (2016). NOAA Climate Data Record Ocean Surface Bundle (OSB) Climate Data Record (CDR) of Near-surface Atmospheric Properties, Version 2. [indicate subset used]. NOAA National ClimaticData Center. doi:10.7289/V55T3HH0.

代码：

var dataset = ee.ImageCollection('NOAA/CDR/ATMOS_NEAR_SURFACE/V2')
                  .filter(ee.Filter.date('2017-05-01', '2017-05-02'));
var airTemperature = dataset.select('air_temperature');
var airTemperatureVis = {
  min: 0.0,
  max: 30.0,
  palette: [
    '040274', '040281', '0502a3', '0502b8', '0502ce', '0502e6',
    '0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef',
    '3be285', '3ff38f', '86e26f', '3ae237', 'b5e22e', 'd6e21f',
    'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08', 'ff500d',
    'ff0000', 'de0101', 'c21301', 'a71001', '911003'
  ],
};
Map.setCenter(28.3, -28.1, 1);
Map.addLayer(airTemperature, airTemperatureVis, 'Air Temperature');